Vehicle safety control system and method, mixer truck

Abstract

The present invention relates to the field of vehicle safety technology, and provides a vehicle safety control system and method, and a mixer truck. The vehicle safety control system includes: an image acquisition module, which is used to collect image data around the vehicle; a decision analysis module, which is used to determine the existence of potential safety hazards around the vehicle based on the image data, and to issue a safety warning. After the safety warning, it is determined that the vehicle needs to be locked based on the current driving conditions of the vehicle, and a vehicle lock request instruction is generated and sent; a remote Internet of Things platform, which is used to generate and send a vehicle lock instruction based on the vehicle lock request instruction; the decision analysis module is also used to send the received vehicle lock instruction to the vehicle control unit; the vehicle control unit is used to perform a vehicle lock operation based on the received vehicle lock instruction. The present invention can prevent safety accidents caused by driver negligence or misjudgment, and improve driving safety.

Description

Technical Field

[0001] The present invention relates to the field of vehicle safety technology, and in particular to a vehicle safety control system, a vehicle safety control method, a storage medium and a mixer truck. Background Art

[0002] Large transport vehicles such as concrete mixer trucks have large blind spots due to their own structural characteristics. It is difficult for the driver to observe people / objects in the blind spots with just the rearview mirror, which can easily cause traffic accidents such as personal injury. Existing transport vehicles monitor the road conditions in front, behind, left and right of the vehicle, as well as pedestrians and obstacles, and form video images by arranging multiple cameras on the left and right sides of the vehicle body and supplemented by radars on both sides of the vehicle body. The driver makes corresponding judgments by watching the video images and combining his own driving experience. The disadvantage of this method is that in an emergency, only the driver can make judgments and operations. If the driver does not see the relevant video images or does not make correct responses in time, it is easy to cause traffic accidents. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a vehicle safety control system and method to overcome the above-mentioned defects.

[0004] In order to achieve the above object, the present invention provides a vehicle safety control system, including a vehicle control unit, and the vehicle safety control system also includes:

[0005] An image acquisition module, used for acquiring image data around the vehicle;

[0006] The decision analysis module is connected to the image acquisition module signal and is used to:

[0007] Determine, based on the image data, that there are potential safety hazards around the vehicle and issue a safety warning;

[0008] After the safety warning, determining that the vehicle needs to be locked according to the current driving condition of the vehicle, and generating and sending a vehicle lock request instruction;

[0009] A remote Internet of Things platform, in communication with the decision analysis module, for generating and sending a vehicle locking instruction according to the received vehicle locking request instruction;

[0010] The decision analysis module is also used to send the received vehicle locking instruction to the vehicle control unit;

[0011] The vehicle control unit is used to perform a vehicle locking operation according to the received vehicle locking instruction.

[0012] Further, the vehicle locking instruction includes an activation code;

[0013] The vehicle control unit is used to compare the activation code with a preset activation code, determine whether to activate the vehicle locking instruction according to the comparison result, and execute the vehicle locking operation if it is determined that the vehicle locking instruction is activated.

[0014] Further, the decision analysis module determines that the vehicle needs to be locked according to the current driving condition of the vehicle after the safety warning, including: if the decision analysis module determines that the current driving speed of the vehicle has not slowed down after the safety warning, determining that the vehicle needs to be locked.

[0015] Furthermore, the vehicle control unit is used to perform a vehicle locking operation according to the received vehicle locking instruction, including: if the vehicle control unit determines that the current driving speed of the vehicle is not zero, limiting the engine power of the vehicle or the speed ratio of the gearbox to reduce the driving speed of the vehicle until the driving speed of the vehicle is zero.

[0016] Furthermore, the image acquisition module includes at least two panoramic cameras, which are symmetrically installed on the left and right sides of the exterior of the cab of the vehicle.

[0017] Furthermore, the panoramic camera is connected to the decision analysis module via an aviation plug, a connector or a BMW plug.

[0018] Furthermore, the vehicle safety control system also includes a display module, which is signal-connected to the decision analysis module and is used to display the image data collected by the image acquisition module and the safety warning information of the decision analysis module.

[0019] The present invention also provides a mixing truck, comprising the above-mentioned vehicle safety control system.

[0020] Another aspect of the present invention provides a vehicle safety control method, the method comprising:

[0021] Acquire image data around the vehicle;

[0022] Determine, based on the image data, that there are potential safety hazards around the vehicle and issue a safety warning;

[0023] After the safety warning, determining that the vehicle needs to be locked according to the current driving condition of the vehicle, generating and sending a vehicle lock request instruction to a remote Internet of Things platform;

[0024] The remote Internet of Things platform generates and sends a vehicle locking instruction according to the vehicle locking request instruction;

[0025] The vehicle locking operation is performed according to the vehicle locking instruction.

[0026] Further, the vehicle locking instruction includes an activation code;

[0027] Executing a vehicle locking operation according to the vehicle locking instruction includes: comparing an activation code in the vehicle locking instruction with a preset activation code, determining whether to activate vehicle locking according to a comparison result, and executing the vehicle locking operation if it is determined that vehicle locking is activated.

[0028] Further, determining that the vehicle needs to be locked according to the current driving condition of the vehicle after the safety warning includes: if it is determined that the current driving speed of the vehicle has not slowed down after the safety warning, determining that the vehicle needs to be locked.

[0029] The present invention also provides a storage medium on which computer program instructions are stored, and the computer program instructions implement the above-mentioned vehicle safety control method when executed.

[0030] The vehicle safety control system and method of the present invention implements active warning based on analysis and decision-making of collected image data. When the active warning does not achieve the expected effect (the vehicle does not slow down), it requests to lock the vehicle, and triggers the locking function by issuing a locking command through a remote Internet of Things platform, actively intervening in vehicle driving to prevent safety accidents caused by driver negligence or misjudgment, thereby improving driving safety. Moreover, remote locking of the vehicle is achieved through a remote Internet of Things platform, which prevents the locking function from being triggered arbitrarily locally, thereby ensuring the stability of vehicle use.

[0031] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0033] Figure 1 is a structural block diagram of a vehicle safety control system provided by an embodiment of the present invention;

[0034] Figure 2 It is a flow chart of a vehicle safety control method provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0035] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0036] Figure 1 FIG. 1 is a structural block diagram of a vehicle safety control system provided by an embodiment of the present invention. Figure 1As shown, this embodiment provides a vehicle safety control system, including: an image acquisition module, a decision analysis module, a vehicle control unit (i.e., the vehicle's ECU (Electronic Control Unit)) and a remote Internet of Things platform. The image acquisition module is used to collect image data around the vehicle. The decision analysis module is connected to the image acquisition module by signal, and is used to determine whether there are safety hazard targets around the vehicle according to the image data collected by the image acquisition module, and to issue a safety warning when it is determined that there are safety hazard targets around the vehicle. After the safety warning is issued, it is determined whether the vehicle needs to be locked according to the current driving conditions of the vehicle, and when it is determined that the vehicle needs to be locked, a vehicle lock request instruction is generated and sent. The remote Internet of Things platform is connected to the decision analysis module in communication, and is used to receive the vehicle lock request instruction sent by the decision analysis module, generate a vehicle lock instruction according to the vehicle lock request instruction, and send the vehicle lock instruction to the decision analysis module. The decision analysis module is also used to send the received vehicle lock instruction to the vehicle control unit; the vehicle control unit is used to perform the vehicle lock operation according to the received vehicle lock instruction.

[0037] In a specific implementation, the decision analysis module determines whether the current driving speed of the vehicle slows down after the safety warning is issued. If the current driving speed does not slow down, the vehicle is locked, a vehicle lock request instruction is generated, and the vehicle lock request instruction is sent to the remote Internet of Things platform. After receiving the vehicle lock request instruction, the remote Internet of Things platform generates a vehicle lock instruction containing an activation code according to the vehicle lock request instruction, and sends the vehicle lock instruction containing the activation code to the decision analysis module. After receiving the vehicle lock instruction containing the activation code, the decision analysis module forwards it to the vehicle control unit. The vehicle control unit compares the activation code in the received vehicle lock instruction with the preset activation code, and determines whether to activate the vehicle lock instruction according to the comparison result; if the activation code in the vehicle lock instruction is consistent with the preset activation code, it is determined to activate the vehicle lock instruction and start the vehicle lock operation; if the activation code in the vehicle lock instruction is inconsistent with the preset activation code, the information of the inconsistent activation code is fed back to the decision analysis module, and the decision analysis module resends the vehicle lock request instruction to the remote Internet of Things platform. The vehicle control unit performs the vehicle locking operation in the following manner: determining whether the current driving speed of the vehicle is zero; if the current driving speed is not zero, limiting the engine power of the vehicle or the speed ratio of the gearbox to reduce the driving speed of the vehicle until the driving speed of the vehicle is zero; and reporting fault information if the current driving speed is zero.

[0038] In an optional embodiment, the vehicle safety control system further includes a display module, which is connected to the decision analysis module by signal, and is used to display the image information collected by the image acquisition module and the safety warning information of the decision analysis module. The image acquisition module is provided with multiple 360° rotating panoramic cameras to collect images of the front, rear, left and right of the vehicle body to realize comprehensive monitoring of the space around the vehicle. From the perspective of cost saving, two 360° rotating panoramic cameras can be used, which are respectively installed on the left and right sides of the outside of the cab of the vehicle, and the two panoramic cameras can realize the monitoring of the left and right sides and the tail space of the vehicle. For example, the camera is installed on the rearview mirror bracket on both sides, and the end of the camera is driven to rotate by the motor inside the rearview mirror bracket. The danger threshold range of the safety hazard target can be calibrated according to the actual situation of the vehicle, which is usually parallel to the outside of the vehicle body within 3m. The tail of the camera is connected to the decision analysis module through an aviation plug, a connector, a BMW head or an extension line. The decision analysis module is embedded in the cab and connected to the CAN line of the vehicle control unit, and communicates with the vehicle control unit through the CAN line. The decision analysis module and the remote Internet of Things platform use wireless communication to communicate in real time. The display module is installed on the center console of the cab near the main driver to facilitate the driver to watch the image. The 360° rotating panoramic camera collects image data in real time and transmits it to the decision analysis module. The decision analysis module processes the image data and displays the image of the left, right and rear sides of the vehicle body through the display module. When a safety hazard target such as a pedestrian appears within the monitoring range, the display module independently displays the image of the perspective and marks the safety hazard target with a red frame. When the safety hazard target enters the danger threshold range, an alarm is issued (for example, when a person or obstacle approaches the vehicle body and the distance from the vehicle body reaches the preset danger threshold, a buzzer alarm is issued), and the voice warns the driver to slow down and stop. If the driver does not slow down at this time, the decision analysis module forms a decision to lock the vehicle, sends a lock request instruction to the remote IoT platform, and remotely locks the vehicle through the remote IoT platform to avoid potential dangers caused by the driver not seeing the monitoring image or not making a deceleration and parking operation in time, thereby improving driving safety. Taking a concrete mixer truck as an example, the panoramic camera identifies people on both sides of the vehicle body and people climbing the ladder at the rear of the vehicle body. The decision analysis module actively alarms and decides whether the vehicle needs to be locked. When someone climbs up the ladder illegally, the panoramic camera will "lock" the climber and switch the image to the screen of the display module to remind the driver to slow down and stop. If the driver does not slow down and stop, the vehicle locking function will be triggered through the remote Internet of Things platform to ensure the personal safety of pedestrians around the vehicle or staff on the vehicle.

[0039] The vehicle safety control system of this embodiment realizes active warning through the decision analysis module based on the collected image data. When the active warning does not achieve the expected effect (the vehicle does not slow down), it requests to lock the vehicle, and sends a lock command through the remote Internet of Things platform to trigger the lock function, actively intervene in vehicle driving to prevent safety accidents caused by driver negligence or misjudgment, and improve driving safety. In addition, remote locking is realized through the remote Internet of Things platform to prevent the lock function from being triggered arbitrarily locally, thereby ensuring the stability of vehicle use.

[0040] An embodiment of the present invention further provides a mixing truck, which includes the above-mentioned vehicle safety control system.

[0041] Figure 2 FIG. 1 is a flow chart of a vehicle safety control method provided by an embodiment of the present invention. Figure 2 As shown, this embodiment provides a vehicle safety control method, comprising the following steps:

[0042] S1. Acquire image data around the vehicle. For example, a 360° rotating camera installed outside the vehicle cab collects image data in the space around the vehicle body.

[0043] S2. Determine the presence of potential safety hazards around the vehicle based on the image data and issue a safety warning; after the safety warning, determine that the vehicle needs to be locked based on the current driving condition of the vehicle, and generate and send a vehicle lock request command to the remote Internet of Things platform.

[0044] Specifically, it is determined whether there are any safety hazard targets around the vehicle based on the collected image data, and a safety warning is issued when it is determined that there are safety hazard targets around the vehicle. After the safety warning, it is determined whether the current driving speed of the vehicle has slowed down. If the current driving speed has not slowed down, it is determined that the vehicle needs to be locked, and a vehicle lock request instruction is generated and sent.

[0045] S3. After receiving the vehicle lock request instruction, the remote Internet of Things platform generates a vehicle lock instruction according to the vehicle lock request instruction and sends the vehicle lock instruction to the vehicle, wherein the vehicle lock instruction includes an activation code.

[0046] S4. The vehicle receives a vehicle locking instruction from a remote IoT platform and performs a vehicle locking operation according to the vehicle locking instruction.

[0047] Specifically, the vehicle control unit of the vehicle compares the activation code in the received vehicle lock command with the preset activation code, determines whether to activate the vehicle lock command based on the comparison result, and executes the vehicle lock operation if it is determined that the vehicle lock command is activated. The vehicle lock operation is executed in the following manner: for example, it is determined whether the current driving speed of the vehicle is zero. If the current driving speed is not zero, the engine power of the vehicle or the speed ratio of the gearbox is limited to reduce the driving speed of the vehicle until the driving speed of the vehicle is zero; if the current driving speed is zero, it indicates a system failure (if the speed is already zero and the vehicle has stopped driving, the vehicle lock function will not be activated), and the failure information is reported.

[0048] The vehicle safety control method of this embodiment implements active warning by analyzing and deciding based on the collected image data. If the active warning does not achieve the expected effect (the vehicle does not slow down), a request is made to lock the vehicle. The locking function is triggered by sending a locking command through the remote Internet of Things platform, and active intervention is made in vehicle driving to prevent safety accidents caused by driver negligence or misjudgment, thereby improving driving safety. Moreover, remote locking is achieved through the remote Internet of Things platform to prevent the locking function from being triggered arbitrarily locally, thereby ensuring the stability of vehicle use.

[0049] An embodiment of the present invention further provides a storage medium on which computer program instructions are stored. When the computer program instructions are executed, the above-mentioned vehicle safety control method is implemented.

[0050] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, systems and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

[0055] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0056] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A vehicle safety control system, comprising a vehicle control unit, characterized in that: The vehicle safety control system further includes: An image acquisition module, used for acquiring image data around the vehicle; A decision analysis module is connected to the image acquisition module signal, and is used to determine the presence of potential safety hazards around the vehicle based on the image data, and issue a safety warning; after the safety warning, it is determined that the vehicle needs to be locked based on the current driving condition of the vehicle, a vehicle lock request instruction is generated, and the vehicle lock request instruction is sent to the remote Internet of Things platform; A remote Internet of Things platform is connected to the decision analysis module by wireless communication, and is used to generate a vehicle locking instruction according to the vehicle locking request instruction received from the decision analysis module, and send the vehicle locking instruction to the decision analysis module, wherein the vehicle locking instruction includes an activation code; The decision analysis module communicates with the vehicle control unit via a CAN line, and sends the received vehicle locking instruction to the vehicle control unit; The vehicle control unit is used to perform a vehicle locking operation according to the received vehicle locking instruction, including: comparing the activation code in the vehicle locking instruction with a preset activation code, determining whether to activate the vehicle locking instruction according to the comparison result, and performing the vehicle locking operation if it is determined that the vehicle locking instruction is activated.

2. The vehicle safety control system according to claim 1, characterized in that: The decision analysis module determines that the vehicle needs to be locked according to the current driving condition of the vehicle after the safety warning, including: If the decision analysis module determines that the current driving speed of the vehicle has not slowed down after the safety warning, it is determined that the vehicle needs to be locked.

3. The vehicle safety control system according to claim 1, characterized in that: The vehicle control unit is used to perform a vehicle locking operation according to the received vehicle locking instruction, including: If the vehicle control unit determines that the current driving speed of the vehicle is not zero, the power of the engine of the vehicle or the speed ratio of the gearbox is limited to reduce the driving speed of the vehicle until the driving speed of the vehicle is zero.

4. The vehicle safety control system according to claim 1, characterized in that: The image acquisition module includes at least two panoramic cameras, which are symmetrically installed on the left and right sides of the exterior of the vehicle's cab.

5. The vehicle safety control system according to claim 4, characterized in that: The panoramic camera is connected to the decision analysis module via an aviation plug, a connector or a BMW plug.

6. The vehicle safety control system according to claim 1, characterized in that: The vehicle safety control system further comprises a display module, which is signal-connected to the decision analysis module and is used to display the image data collected by the image acquisition module and the safety warning information of the decision analysis module.

7. A mixer truck, characterized in that: A vehicle safety control system comprising any one of claims 1-6.

8. A vehicle safety control method, characterized in that: The method comprises: Acquire image data around the vehicle; Determine, based on the image data, that there are potential safety hazards around the vehicle and issue a safety warning; After the safety warning, determine that the vehicle needs to be locked according to the current driving situation of the vehicle, generate a vehicle lock request instruction, and send the vehicle lock request instruction to the remote Internet of Things platform; The remote Internet of Things platform generates and sends a vehicle locking instruction according to the received vehicle locking request instruction, wherein the vehicle locking instruction includes an activation code; Executing a vehicle locking operation according to the received vehicle locking instruction includes: comparing an activation code in the vehicle locking instruction with a preset activation code, determining whether to activate the vehicle locking instruction according to a comparison result, and executing the vehicle locking operation if it is determined that the vehicle locking instruction is activated.

9. The vehicle safety control method according to claim 8, characterized in that: The determining that the vehicle needs to be locked according to the current driving condition of the vehicle after the safety warning includes: If it is determined that the current driving speed of the vehicle has not slowed down after the safety warning, it is determined that the vehicle needs to be locked.

10. A storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed, the vehicle safety control method according to claim 8 or 9 is implemented.

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